Artificial Intelligence in Therapeutic Ultrasound
schematic of transfer learning networkThis talk aims at briefly introducing some key concepts in artificial intelligence which are relevant to therapeutic ultrasound.
It was delivered as an educational session at ISTU 2023 in Lyon.
There were a number of challenges in writing this, mainly relating to the breadth of the possible applications and, at the same time introducing a number of technical concepts which needed to be defined. Many of the subject areas could have been lecture courses in their own right.
The abstract can be found [here]
The slides will be uploaded soon.
David Sinden is an applied mathematician working as a senior scientist at the Fraunhofer Institute for Digital Medicine MEVIS, in Bremen.
His research interests include ultrasound modelling, thermal ablation and pharmacokinetic models. He works within the modelling and simulation and image-guided therapy groups.
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